Suppose 200 subjects are treated with a drug that is used to treat pain and 52 of them developed nausea. Use a 0.05 significance level to test the claim that more than 20?% of users develop nausea.
Identify the null and alternative hypotheses for this test.
Identify the test statistic for this hypothesis test.
Suppose
200200
subjects are treated with a drug that is used to treat pain and
5252
of them developed nausea. Use a
0.050.05
significance level to test the claim that more than
2020?%
of users develop nausea.
Identify the null and alternative hypotheses for this test. Choose the correct answer below.
A.
Upper H 0H0?:
pequals=0.200.20
Upper H 1H1?:
pless than<0.200.20
B.
Upper H 0H0?:
pgreater than>0.200.20
Upper H 1H1?:
pequals=0.200.20
C.
Upper H 0H0?:
pequals=0.200.20
Upper H 1H1?:
pnot equals?0.200.20
D.
Upper H 0H0?:
pequals=0.200.20
Upper H 1H1?:
pgreater than>0.200.20
Identify the test statistic for this hypothesis test.
Identify the? P-value for this hypothesis test.
Identify the conclusion for this hypothesis test.
The hypotheses for the claim that more than 20?% of users develop nausea is,
D.
Upper H 0H0?:
pequals=0.200.20
Upper H 1H1?:
pgreater than>0.200.20
Standard error of the proportion, se =
Observed proportion, phat = 52 / 200 = 0.26
Test statistic, z = (phat - p )/ se
= (0.26 - 0.20) / 0.02828427
= 2.12
P-value = P(z > 2.12) = 0.017
As, the p-value is less than 0.05 significance level, we reject H0 and conclude that there is significant evidence that the more than 20?% of drug users develop nausea.
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